Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality
In this paper, a dual-layer grid comprehensive resource optimizing allocation model is proposed, which considers power quality controlling and load optimization scheduling under large-scale application of distributed electric heating. The upper-layer planning aims to minimize the active power loss o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/10/3587 |
| _version_ | 1797500190511333376 |
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| author | Wei Li Mengjun Li Ning Zhang Xuesong Zhou Jiegui Zhou Guanyu Song |
| author_facet | Wei Li Mengjun Li Ning Zhang Xuesong Zhou Jiegui Zhou Guanyu Song |
| author_sort | Wei Li |
| collection | DOAJ |
| description | In this paper, a dual-layer grid comprehensive resource optimizing allocation model is proposed, which considers power quality controlling and load optimization scheduling under large-scale application of distributed electric heating. The upper-layer planning aims to minimize the active power loss of the distribution network, the minimum voltage deviation, and the minimum investment cost of the power quality control device. The capacity configuration of the management device and the number and location of the commutation switch configuration were determined. The lower layer is load optimization scheduling, with the minimum number of action switches and the minimum three-phase imbalance as the planning goals, and the decision variable is the state of the commutation switch. By co-simulation through Matlab and OpenDSS, the improved particle swarm algorithm and genetic algorithm are used for multi-objective optimization and the solution. In this way, the capacity configuration of reactive power compensation and active filter, as well as the installation position and switch state of the commutation switch are optimized and managed. Finally, taking the rural low-voltage distribution network in the Tongzhou District as an example, simulations considering the variation in the distributed electric heating penetration rate in the range of 20–80% are carried out. The calculation example results show that the proposed algorithm is effective, can effectively improve the power factor, reduces the harmonic content of the distribution network and the three-phase unbalance, and significantly improves the distribution network voltage. |
| first_indexed | 2024-03-10T03:58:19Z |
| format | Article |
| id | doaj.art-b1fad19446304fc2957cc1d04fe9eed4 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:58:19Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b1fad19446304fc2957cc1d04fe9eed42023-11-23T10:50:13ZengMDPI AGEnergies1996-10732022-05-011510358710.3390/en15103587Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power QualityWei Li0Mengjun Li1Ning Zhang2Xuesong Zhou3Jiegui Zhou4Guanyu Song5School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, ChinaSchool of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, ChinaNational Research Center for Rehabilitation AIDS, Beijing 100176, ChinaSchool of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, ChinaChina Railway Design Group Co. Ltd., Tianjin 300010, ChinaKey Laboratory of Smart Grid of Education Ministry, Tianjin University, Tianjin 300072, ChinaIn this paper, a dual-layer grid comprehensive resource optimizing allocation model is proposed, which considers power quality controlling and load optimization scheduling under large-scale application of distributed electric heating. The upper-layer planning aims to minimize the active power loss of the distribution network, the minimum voltage deviation, and the minimum investment cost of the power quality control device. The capacity configuration of the management device and the number and location of the commutation switch configuration were determined. The lower layer is load optimization scheduling, with the minimum number of action switches and the minimum three-phase imbalance as the planning goals, and the decision variable is the state of the commutation switch. By co-simulation through Matlab and OpenDSS, the improved particle swarm algorithm and genetic algorithm are used for multi-objective optimization and the solution. In this way, the capacity configuration of reactive power compensation and active filter, as well as the installation position and switch state of the commutation switch are optimized and managed. Finally, taking the rural low-voltage distribution network in the Tongzhou District as an example, simulations considering the variation in the distributed electric heating penetration rate in the range of 20–80% are carried out. The calculation example results show that the proposed algorithm is effective, can effectively improve the power factor, reduces the harmonic content of the distribution network and the three-phase unbalance, and significantly improves the distribution network voltage.https://www.mdpi.com/1996-1073/15/10/3587distributed electric heatinglarge-scaledual-layerpower quality management |
| spellingShingle | Wei Li Mengjun Li Ning Zhang Xuesong Zhou Jiegui Zhou Guanyu Song Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality Energies distributed electric heating large-scale dual-layer power quality management |
| title | Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality |
| title_full | Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality |
| title_fullStr | Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality |
| title_full_unstemmed | Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality |
| title_short | Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality |
| title_sort | optimizing allocation of distributed electric heating for large scale access distribution considering the influence of power quality |
| topic | distributed electric heating large-scale dual-layer power quality management |
| url | https://www.mdpi.com/1996-1073/15/10/3587 |
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